DATA VISUALISATION

Experts’ perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study

Peer reviewed: Yes. Authors: Walsh, Erin I and Chung, Younjin and Cherbuin, Nicolas and Salvador-Carulla, Luis. Publication: BMC Medical Research Methodology Year: 2020 DOI: https://doi.org/10.1186/s12874-020-00986-0 Method: Online survey of an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. Message: Preliminary findings indicated that, despite a clear need to extract information from highly complex data, experts tend to utilise visualisations that are most familiar to them, widely understood, and not necessarily the most appropriate.

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Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review

Peer reviewed: Yes Authors: Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis Publication: International Journal of Information Management. Year: 2020 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.012 Method: Scoping review. Message: Visual analytics is needed for mental healthcare systems research and policy. BibTeX: @article{ChungYRole2020U, title={Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review}, author={Chung, Younjin and Bagheri, Nasser and Salinas-Perez, Jose Alberto and Smurthwaite, Kayla and Walsh, Erin and Furst, MaryAnne and Rosenberg, Sebastian and Salvador-Carulla, Luis}, journal={International Journal of Information Management}, volume={50}, pages={}, year={2020}, publisher={Elsevier BV}}

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